Accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adults

Abstract Introduction: The identification of older adults who present greater chances of falling is the first step in the prevention of falls. Clinical instruments have been shown to be able to differentiate fallers from non-fallers, but their predictive validity remains controversial. Objective: To investigate the accuracy of the Short Physical Performance Battery (SPPB) and Quick Screen Clinical Fall Risk Assessment (QuickScreen) instruments to identify risk of falls in community-dwelling older adults. Method: This is a prospective methodological study with 81 older adults (≥ 60 years), assessed at baseline by SPPB and QuickScreen and monitored after one year to identify the occurrence of falls. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the ROC curve (AUC) were calculated. Results: 28.4% of the sample reported falls. QuickScreen presented 52.2% sensitivity, 74.1% specificity, 44.4% PPV, 79.6% NPV and 0.656 AUC. The AUC for SPPB was not significant (p = 0.087). Conclusion: QuickScreen presented poor accuracy when predicting falls and SPPB was unable to identify community-dwelling older adults at risk of falls. The QuickScreen instrument stood out for its high potential to identify true negatives.

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Main Authors: Sampaio,Raphaela Xavier, Abreu,Amanda Maria Santos, Nagata,Cristiane Almeida, Garcia,Patrícia Azevedo
Format: Digital revista
Language:English
Published: Pontifícia Universidade Católica do Paraná 2019
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-51502019000100201
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spelling oai:scielo:S0103-515020190001002012019-02-19Accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adultsSampaio,Raphaela XavierAbreu,Amanda Maria SantosNagata,Cristiane AlmeidaGarcia,Patrícia Azevedo Older Adults Accidental Falls Risk Factors Risk Assessment Sensitivity and Specificity Abstract Introduction: The identification of older adults who present greater chances of falling is the first step in the prevention of falls. Clinical instruments have been shown to be able to differentiate fallers from non-fallers, but their predictive validity remains controversial. Objective: To investigate the accuracy of the Short Physical Performance Battery (SPPB) and Quick Screen Clinical Fall Risk Assessment (QuickScreen) instruments to identify risk of falls in community-dwelling older adults. Method: This is a prospective methodological study with 81 older adults (≥ 60 years), assessed at baseline by SPPB and QuickScreen and monitored after one year to identify the occurrence of falls. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the ROC curve (AUC) were calculated. Results: 28.4% of the sample reported falls. QuickScreen presented 52.2% sensitivity, 74.1% specificity, 44.4% PPV, 79.6% NPV and 0.656 AUC. The AUC for SPPB was not significant (p = 0.087). Conclusion: QuickScreen presented poor accuracy when predicting falls and SPPB was unable to identify community-dwelling older adults at risk of falls. The QuickScreen instrument stood out for its high potential to identify true negatives.info:eu-repo/semantics/openAccessPontifícia Universidade Católica do ParanáFisioterapia em Movimento v.32 20192019-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-51502019000100201en10.1590/1980-5918.032.ao02
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country Brasil
countrycode BR
component Revista
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Sampaio,Raphaela Xavier
Abreu,Amanda Maria Santos
Nagata,Cristiane Almeida
Garcia,Patrícia Azevedo
spellingShingle Sampaio,Raphaela Xavier
Abreu,Amanda Maria Santos
Nagata,Cristiane Almeida
Garcia,Patrícia Azevedo
Accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adults
author_facet Sampaio,Raphaela Xavier
Abreu,Amanda Maria Santos
Nagata,Cristiane Almeida
Garcia,Patrícia Azevedo
author_sort Sampaio,Raphaela Xavier
title Accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adults
title_short Accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adults
title_full Accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adults
title_fullStr Accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adults
title_full_unstemmed Accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adults
title_sort accuracy of clinical-functional tools to identify risk of falls among community-dwelling older adults
description Abstract Introduction: The identification of older adults who present greater chances of falling is the first step in the prevention of falls. Clinical instruments have been shown to be able to differentiate fallers from non-fallers, but their predictive validity remains controversial. Objective: To investigate the accuracy of the Short Physical Performance Battery (SPPB) and Quick Screen Clinical Fall Risk Assessment (QuickScreen) instruments to identify risk of falls in community-dwelling older adults. Method: This is a prospective methodological study with 81 older adults (≥ 60 years), assessed at baseline by SPPB and QuickScreen and monitored after one year to identify the occurrence of falls. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the ROC curve (AUC) were calculated. Results: 28.4% of the sample reported falls. QuickScreen presented 52.2% sensitivity, 74.1% specificity, 44.4% PPV, 79.6% NPV and 0.656 AUC. The AUC for SPPB was not significant (p = 0.087). Conclusion: QuickScreen presented poor accuracy when predicting falls and SPPB was unable to identify community-dwelling older adults at risk of falls. The QuickScreen instrument stood out for its high potential to identify true negatives.
publisher Pontifícia Universidade Católica do Paraná
publishDate 2019
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-51502019000100201
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